Evidence map›Paper›PMID 36658498›Full record

SynthesisBMC genomics2023

Deciphering key genomic regions controlling flag leaf size in wheat via integration of meta-QTL and in silico transcriptome assessment.

Binxue Kong, Jingfu Ma, Peipei Zhang, Tao Chen, Yuan Liu, Zhuo Che, Fahimeh Shahinnia, Delong Yang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
10.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  6. Ancient diversity ofFrontiers in plant science · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Binxue KongState Key Laboratory of Aridland Crop Science, Lanzhou, 730070, China.
Jingfu MaState Key Laboratory of Aridland Crop Science, Lanzhou, 730070, China.
Peipei ZhangState Key Laboratory of Aridland Crop Science, Lanzhou, 730070, China.
Tao ChenState Key Laboratory of Aridland Crop Science, Lanzhou, 730070, China.
Yuan LiuState Key Laboratory of Aridland Crop Science, Lanzhou, 730070, China.
Zhuo ChePlant Seed Master Station of Gansu Province, Lanzhou, 730000, China.
Fahimeh ShahinniaBavarian State Research Centre for Agriculture, Institute for Crop Science and Plant Breeding, 85354, Freising, Germany.
Delong YangState Key Laboratory of Aridland Crop Science, Lanzhou, 730070, China. yangdl@gsau.edu.cn.
Gansu Agricultural University · CNBavarian State Research Center for Agriculture · DE

Funding

Key Research and Development Program of Gansu Province 21YF5NA089Key Sci & Tech Special Project of Gansu Province 22ZD6NA010the Industrial Support Plan of Colleges and Universities in Gansu Province 2022CYZC-44the Research Program Sponsored by State Key Laboratory of Aridland Crop Science GHSJ 2020-Z4
6 · The paper itself

Abstract

backgroundGrain yield is a complex and polygenic trait influenced by the photosynthetic source-sink relationship in wheat. The top three leaves, especially the flag leaf, are considered the major sources of photo-assimilates accumulated in the grain. Determination of significant genomic regions and candidate genes affecting flag leaf size can be used in breeding for grain yield improvement.

resultsWith the final purpose of understanding key genomic regions for flag leaf size, a meta-analysis of 521 initial quantitative trait loci (QTLs) from 31 independent QTL mapping studies over the past decades was performed, where 333 loci eventually were refined into 64 meta-QTLs (MQTLs). The average confidence interval (CI) of these MQTLs was 5.28 times less than that of the initial QTLs. Thirty-three MQTLs overlapped the marker trait associations (MTAs) previously reported in genome-wide association studies (GWAS) for flag leaf traits in wheat. A total of 2262 candidate genes for flag leaf size, which were involved in the peroxisome, basal transcription factor, and tyrosine metabolism pathways were identified in MQTL regions by the in silico transcriptome assessment. Of these, the expression analysis of the available genes revealed that 134 genes with > 2 transcripts per million (TPM) were highly and specifically expressed in the leaf. These candidate genes could be critical to affect flag leaf size in wheat.

conclusionsThe findings will make further insight into the genetic determinants of flag leaf size and provide some reliable MQTLs and putative candidate genes for the genetic improvement of flag leaf size in wheat.

Indexed as

Quantitative Trait LociTriticumGenome-Wide Association StudyGenomicsPlant BreedingPlant LeavesTranscriptomeCandidate genesFlag leaf traitsMeta-analysisQTL mappingTranscriptomeWheat

Identifiers

PMID36658498
PMCPMC9854125
OpenAlexW4317435117

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.